Data Engineer

Join the new climate technology startup that is radically shifting the trajectory of global sustainability! 
At Altruistiq we believe that business has the capacity to create benefit for all its stakeholders, but that this transition to stakeholder capitalism requires a new kind of corporate intelligence. Our company is developing the tools to underpin that intelligence - to track environment, social and governance indicators, define what needs to be done, and channel resources to where they are needed most. This could mean helping the world’s largest brands to change farming practices in India, wind down coal power plants in Africa, or increase the reusability of packaging materials in Europe.   
We are building a SaaS product to help the world’s largest companies increase the sustainability of their global supply chains. We are an early-stage venture, backed by some of the world’s most recognisable names in sustainable investing, including the founders of multiple successful tech ventures (including 3 exits, and one unicorn), former chairs of Barclay’s Bank and UBS, and multiple CEOs from the private equity/asset management industry. Our company is post-revenue, working with category leaders in private equity, FMCG, food service and logistics. We are currently facing a massive, growing demand base and scaling up the team rapidly to meet it.

We are bringing together an exciting and innovative data engineering and data science team to develop the core data engine powering Sustainability reporting, analytics, and simulation for our customers. Delivering increasingly accurate sustainability metrics is a significant and fun data challenge, requiring creativity and technical excellence. You will have an opportunity to shape how data can be used to improve large organisations' (multi-billion dollar revenues) sustainability initiatives, making a real impact on our climate and planet, whilst using the latest technology. As one of the first team members, you will also play a role in building out the data function, bringing on new team members, and helping to build a fun, challenging, planet-conscious engineering team!

About the Role

Our data engineers will be responsible for::
  • Developing the internal Cloud-based (AWS) SaaS data architecture to support live integration, reporting, data science, self-service analysis, and upstream consumption
  • Setting software engineering standards together with Data Scientists to develop robust data products
  • Implementing DataOps / MLOps principles to enable high quality and fast development, deployment, and remediation of our data products
  • Working with customers to establish batch and (in the future) lower latency integration patterns, connecting to a variety of sources and data formats (structured and unstructured)
  • Implementing security and regulatory controls to protect our customers' data and establish strong trust for our brand in the marketplace
  • Supporting internal research and development to explore new and innovative ways of resolving and extracting value from large, complex data landscapes
  • Identifying and liaising with 3rd party data providers / suppliers to enrich customer data and improve the accuracy of customer metrics
  • Collaborating closely with data scientists and insights manager to engineer high value features
  • About you::
  • Proven experience building and optimising production data products in Cloud environments (preferably AWS)
  • Proven experience integrating data from on-premise to Cloud environments across different integration patterns (batch, API-based)
  • Experience working in multi-tenanted data environments
  • Strong Python. PySpark and SQL development skills and experience working with code management systems/gitflows
  • Knowledge of data security and privacy considerations and associated controls
  • Demonstrable experience working across structured and unstructured data formats and complex wrangling
  • Data warehousing and data modelling experience, for traditional relational/dimensional models and NoSQL (key-value/document/graph)
  • Good experience working alongside data scientists and an understanding of machine learning approaches and preferably (although not essential) some experience of building and deploying machine learning models
  • Some experience of DevOps including infrastructure-as-code, CI/CD, serverless computing, containerisation (Docker/Kubernetes)
  • This is a fantastic time to join and help shape an ambitious data function for a company that wants to make a real difference in the world! If you are a motivated self-starter who enjoys working in a dynamic, fast-paced, and innovative environment, we look forward to hearing from you...!

    This is a remote position (although UK based for tax/contractual purposes), and unfortunately, we don't have the possibility to sponsor visas at this stage.

    Remuneration and rewards package:

    Remuneration will be determined depending on experience, but we offer competitive salaries and comprehensive benefits package to all our team.

    Our benefits include:
    - Equity, we believe our team should all have a stake in the company we're building.
    - Free choice of equipment and software, use whatever works best for you
    - A supportive culture to help you learn and develop into a better version of yourself, including a learning & development budget and policy.
    - Competitive compensation package.
    - Private health and dental insurance for you and your partner/family.
    - Generous pension contribution.
    - Unlimited holiday policy with a guaranteed minimum of 25 days.
    - Flexible working, remote-first, with a budget to join a shared working space wherever you live.
    - Health & wellness budget, cycle scheme.
    - We compensate your carbon footprint
    - Team offsites, bi-annual events to spend time together as a team (as soon as safe to do so!).
    - Work in a diverse, feedback-driven organisation, decentralized decision making enabling everyone to weigh in, offering lots of freedom, impact as well as responsibility.

    At Altruistiq we actively believe a diverse team is a better team. We welcome any candidate to apply, and if there are accommodations that can be made to make the application and interview process more accessible for you please just get in touch. 

    Apply today

    Join an exciting, passionate team on a mission to make at-scale sustainable business a reality.

    Remote First
    Generous Benefits
    Learning Budget
    Apply now